A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

Quantum computers have made extraordinary progress over the past decade, and
significant milestones have been achieved along the path of pursuing universal fault-tolerant …

Multipartite entangled states are crucial for numerous applications in quantum information
science. However, the generation and verification of multipartite entanglement on fully …

The last decade has witnessed remarkable progress in the development of quantum
technologies. Although fault-tolerant devices likely remain years away, the noisy …

Near-unity energy transfer efficiency has been widely observed in natural photosynthetic
complexes. This phenomenon has attracted broad interest from different fields, such as …

Principal component analysis (PCA) is a widely applied but rather time-consuming tool in
machine learning techniques. In 2014, Lloyd, Mohseni, and Rebentrost proposed a quantum …

Quantum metrology promises unprecedented precision of parameter estimation, but it is
often vulnerable to noise. While significant efforts have been devoted to improving the …

Quantum reservoir computing provides a framework for exploiting the natural dynamics of
quantum systems as a computational resource. It can implement real-time signal processing …

Editor's note: As an emerging technology, quantum computing brings unique promises in
creating a fundamentally different paradigm of information processing. This article reviews …